We also tested our model on natural images using the popular miniImageNet [1]} benchmark.
The model works well but does not exceed the state of the art. The performance of our model on natural images could also have been constrained by the small model size. We also studied the cross-attention patterns on the miniImageNet data and found that
the model paid more attention to similarities in textures rather than semantically similar high-level parts and objects.
